Data-oriented programming

Data-oriented programming: reduce software complexity

by Sharvit, Yehonathan

Type Book
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Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The data-orineted programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. Data-oriented programming teaches y…

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Title Statements

  • Full title :Data-oriented programming : reduce software complexity / Yehonathan Sharvit ; forewords by Michael T. Nygard and Ryan Singer.

Summary

Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The data-orineted programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. Data-oriented programming teaches you to design software using the groundbreaking data-oriented paradigm. You'll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming.

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Edition Statements

  • Publication Date:2022

Publication Statements

  • Publisher(s):Manning Publications
  • Place of Publication:Shelter Island, NY
  • Language:eng
  • Publication Date:2022

Notes

Includes index. - Description based on print version record.

The Physical Object

  • Description:1 online resource (xxv, 396 pages) : illustrations.

Edition Identifiers

  • ISBN:9781617298578, 1617298573
  • oclc:on1347360022
  • Dewey Decimal:005.117

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